Pandas Profiling Report

Dataset statistics

Number of variables	21
Number of observations	32950
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	9
Duplicate rows (%)	< 0.1%
Total size in memory	24.2 MiB
Average record size in memory	770.4 B

Variable types

Numeric	10
Categorical	10
Boolean	1

Warnings

Dataset has 9 (< 0.1%) duplicate rows	Duplicates
`emp.var.rate` is highly correlated with `euribor3m` and 1 other fields	High correlation
`euribor3m` is highly correlated with `emp.var.rate` and 1 other fields	High correlation
`nr.employed` is highly correlated with `emp.var.rate` and 1 other fields	High correlation
`previous` has 28394 (86.2%) zeros	Zeros

Reproduction

Analysis started	2021-05-18 08:44:05.201698
Analysis finished	2021-05-18 08:44:34.911085
Duration	29.71 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

age
Real number (ℝ_≥0)

Distinct	77
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	40.04021244
Minimum	17
Maximum	98
Zeros	0
Zeros (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	17
5-th percentile	26
Q1	32
median	38
Q3	47
95-th percentile	58
Maximum	98
Range	81
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.43231316
Coefficient of variation (CV)	0.2605458993
Kurtosis	0.7718456354
Mean	40.04021244
Median Absolute Deviation (MAD)	7
Skewness	0.777049751
Sum	1319325
Variance	108.8331579
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31	1547	4.7%
32	1463	4.4%
33	1430	4.3%
35	1426	4.3%
36	1409	4.3%
34	1392	4.2%
30	1381	4.2%
29	1173	3.6%
37	1173	3.6%
39	1159	3.5%
Other values (67)	19397	58.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
17	4	< 0.1%
18	23	0.1%
19	33	0.1%
20	53	0.2%
21	89	0.3%
22	109	0.3%
23	185	0.6%
24	370	1.1%
25	477	1.4%
26	548	1.7%

Value	Count	Frequency (%)
98	2	< 0.1%
95	1	< 0.1%
94	1	< 0.1%
92	3	< 0.1%
91	2	< 0.1%
89	2	< 0.1%
88	16	< 0.1%
86	7	< 0.1%
85	13	< 0.1%
84	4	< 0.1%

job
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

admin.	8339
blue-collar	7356
technician	5426
services	3161
management	2343
Other values (7)	6325

Length

Max length	13
Median length	10
Mean length	8.955842185
Min length	6

Characters and Unicode

Total characters	295095
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	technician
2nd row	unknown
3rd row	blue-collar
4th row	admin.
5th row	housemaid

Value	Count	Frequency (%)
admin.	8339	25.3%
blue-collar	7356	22.3%
technician	5426	16.5%
services	3161	9.6%
management	2343	7.1%
retired	1388	4.2%
entrepreneur	1193	3.6%
self-employed	1140	3.5%
housemaid	854	2.6%
unemployed	793	2.4%
Other values (2)	957	2.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
admin	8339	25.3%
blue-collar	7356	22.3%
technician	5426	16.5%
services	3161	9.6%
management	2343	7.1%
retired	1388	4.2%
entrepreneur	1193	3.6%
self-employed	1140	3.5%
housemaid	854	2.6%
unemployed	793	2.4%
Other values (2)	957	2.9%

Most occurring characters

Value	Count	Frequency (%)
e	37880	12.8%
n	28563	9.7%
a	26661	9.0%
l	25141	8.5%
i	24594	8.3%
c	21369	7.2%
r	16872	5.7%
m	15812	5.4%
d	13196	4.5%
t	11714	4.0%
Other values (14)	73293	24.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	278260	94.3%
Dash Punctuation	8496	2.9%
Other Punctuation	8339	2.8%

Most frequent character per category

Value	Count	Frequency (%)
e	37880	13.6%
n	28563	10.3%
a	26661	9.6%
l	25141	9.0%
i	24594	8.8%
c	21369	7.7%
r	16872	6.1%
m	15812	5.7%
d	13196	4.7%
t	11714	4.2%
Other values (12)	56458	20.3%

Value	Count	Frequency (%)
-	8496	100.0%

Value	Count	Frequency (%)
.	8339	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	278260	94.3%
Common	16835	5.7%

Most frequent character per script

Value	Count	Frequency (%)
e	37880	13.6%
n	28563	10.3%
a	26661	9.6%
l	25141	9.0%
i	24594	8.8%
c	21369	7.7%
r	16872	6.1%
m	15812	5.7%
d	13196	4.7%
t	11714	4.2%
Other values (12)	56458	20.3%

Value	Count	Frequency (%)
-	8496	50.5%
.	8339	49.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	295095	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	37880	12.8%
n	28563	9.7%
a	26661	9.0%
l	25141	8.5%
i	24594	8.3%
c	21369	7.2%
r	16872	5.7%
m	15812	5.4%
d	13196	4.5%
t	11714	4.0%
Other values (14)	73293	24.8%

marital
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

married	19966
single	9242
divorced	3676
unknown	66

Length

Max length	8
Median length	7
Mean length	6.83107739
Min length	6

Characters and Unicode

Total characters	225084
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	married
2nd row	married
3rd row	married
4th row	married
5th row	married

Value	Count	Frequency (%)
married	19966	60.6%
single	9242	28.0%
divorced	3676	11.2%
unknown	66	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
married	19966	60.6%
single	9242	28.0%
divorced	3676	11.2%
unknown	66	0.2%

Most occurring characters

Value	Count	Frequency (%)
r	43608	19.4%
i	32884	14.6%
e	32884	14.6%
d	27318	12.1%
m	19966	8.9%
a	19966	8.9%
n	9440	4.2%
s	9242	4.1%
g	9242	4.1%
l	9242	4.1%
Other values (6)	11292	5.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	225084	100.0%

Most frequent character per category

Value	Count	Frequency (%)
r	43608	19.4%
i	32884	14.6%
e	32884	14.6%
d	27318	12.1%
m	19966	8.9%
a	19966	8.9%
n	9440	4.2%
s	9242	4.1%
g	9242	4.1%
l	9242	4.1%
Other values (6)	11292	5.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	225084	100.0%

Most frequent character per script

Value	Count	Frequency (%)
r	43608	19.4%
i	32884	14.6%
e	32884	14.6%
d	27318	12.1%
m	19966	8.9%
a	19966	8.9%
n	9440	4.2%
s	9242	4.1%
g	9242	4.1%
l	9242	4.1%
Other values (6)	11292	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	225084	100.0%

Most frequent character per block

Value	Count	Frequency (%)
r	43608	19.4%
i	32884	14.6%
e	32884	14.6%
d	27318	12.1%
m	19966	8.9%
a	19966	8.9%
n	9440	4.2%
s	9242	4.1%
g	9242	4.1%
l	9242	4.1%
Other values (6)	11292	5.0%

education
Categorical

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

university.degree	9717
high.school	7553
basic.9y	4860
professional.course	4229
basic.4y	3333
Other values (3)	3258

Length

Max length	19
Median length	11
Mean length	12.71213961
Min length	7

Characters and Unicode

Total characters	418865
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	high.school
2nd row	unknown
3rd row	basic.9y
4th row	high.school
5th row	high.school

Value	Count	Frequency (%)
university.degree	9717	29.5%
high.school	7553	22.9%
basic.9y	4860	14.7%
professional.course	4229	12.8%
basic.4y	3333	10.1%
basic.6y	1847	5.6%
unknown	1396	4.2%
illiterate	15	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
university.degree	9717	29.5%
high.school	7553	22.9%
basic.9y	4860	14.7%
professional.course	4229	12.8%
basic.4y	3333	10.1%
basic.6y	1847	5.6%
unknown	1396	4.2%
illiterate	15	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	47356	11.3%
i	41286	9.9%
s	39997	9.5%
.	31539	7.5%
o	29189	7.0%
r	27907	6.7%
h	22659	5.4%
c	21822	5.2%
y	19757	4.7%
n	18134	4.3%
Other values (15)	119219	28.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	377286	90.1%
Other Punctuation	31539	7.5%
Decimal Number	10040	2.4%

Most frequent character per category

Value	Count	Frequency (%)
e	47356	12.6%
i	41286	10.9%
s	39997	10.6%
o	29189	7.7%
r	27907	7.4%
h	22659	6.0%
c	21822	5.8%
y	19757	5.2%
n	18134	4.8%
g	17270	4.6%
Other values (11)	91909	24.4%

Value	Count	Frequency (%)
9	4860	48.4%
4	3333	33.2%
6	1847	18.4%

Value	Count	Frequency (%)
.	31539	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	377286	90.1%
Common	41579	9.9%

Most frequent character per script

Value	Count	Frequency (%)
e	47356	12.6%
i	41286	10.9%
s	39997	10.6%
o	29189	7.7%
r	27907	7.4%
h	22659	6.0%
c	21822	5.8%
y	19757	5.2%
n	18134	4.8%
g	17270	4.6%
Other values (11)	91909	24.4%

Value	Count	Frequency (%)
.	31539	75.9%
9	4860	11.7%
4	3333	8.0%
6	1847	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	418865	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	47356	11.3%
i	41286	9.9%
s	39997	9.5%
.	31539	7.5%
o	29189	7.0%
r	27907	6.7%
h	22659	5.4%
c	21822	5.2%
y	19757	4.7%
n	18134	4.3%
Other values (15)	119219	28.5%

default
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

no	26064
unknown	6883
yes	3

Length

Max length	7
Median length	2
Mean length	3.044552352
Min length	2

Characters and Unicode

Total characters	100318
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	unknown
3rd row	no
4th row	no
5th row	no

Value	Count	Frequency (%)
no	26064	79.1%
unknown	6883	20.9%
yes	3	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	26064	79.1%
unknown	6883	20.9%
yes	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
n	46713	46.6%
o	32947	32.8%
u	6883	6.9%
k	6883	6.9%
w	6883	6.9%
y	3	< 0.1%
e	3	< 0.1%
s	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	100318	100.0%

Most frequent character per category

Value	Count	Frequency (%)
n	46713	46.6%
o	32947	32.8%
u	6883	6.9%
k	6883	6.9%
w	6883	6.9%
y	3	< 0.1%
e	3	< 0.1%
s	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	100318	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	46713	46.6%
o	32947	32.8%
u	6883	6.9%
k	6883	6.9%
w	6883	6.9%
y	3	< 0.1%
e	3	< 0.1%
s	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100318	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	46713	46.6%
o	32947	32.8%
u	6883	6.9%
k	6883	6.9%
w	6883	6.9%
y	3	< 0.1%
e	3	< 0.1%
s	3	< 0.1%

housing
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

yes	17232
no	14936
unknown	782

Length

Max length	7
Median length	3
Mean length	2.641638847
Min length	2

Characters and Unicode

Total characters	87042
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	yes
3rd row	no
4th row	no
5th row	yes

Value	Count	Frequency (%)
yes	17232	52.3%
no	14936	45.3%
unknown	782	2.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
yes	17232	52.3%
no	14936	45.3%
unknown	782	2.4%

Most occurring characters

Value	Count	Frequency (%)
n	17282	19.9%
y	17232	19.8%
e	17232	19.8%
s	17232	19.8%
o	15718	18.1%
u	782	0.9%
k	782	0.9%
w	782	0.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	87042	100.0%

Most frequent character per category

Value	Count	Frequency (%)
n	17282	19.9%
y	17232	19.8%
e	17232	19.8%
s	17232	19.8%
o	15718	18.1%
u	782	0.9%
k	782	0.9%
w	782	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	87042	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	17282	19.9%
y	17232	19.8%
e	17232	19.8%
s	17232	19.8%
o	15718	18.1%
u	782	0.9%
k	782	0.9%
w	782	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	87042	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	17282	19.9%
y	17232	19.8%
e	17232	19.8%
s	17232	19.8%
o	15718	18.1%
u	782	0.9%
k	782	0.9%
w	782	0.9%

loan
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

no	27166
yes	5002
unknown	782

Length

Max length	7
Median length	2
Mean length	2.27047041
Min length	2

Characters and Unicode

Total characters	74812
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	yes
2nd row	no
3rd row	no
4th row	no
5th row	no

Value	Count	Frequency (%)
no	27166	82.4%
yes	5002	15.2%
unknown	782	2.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	27166	82.4%
yes	5002	15.2%
unknown	782	2.4%

Most occurring characters

Value	Count	Frequency (%)
n	29512	39.4%
o	27948	37.4%
y	5002	6.7%
e	5002	6.7%
s	5002	6.7%
u	782	1.0%
k	782	1.0%
w	782	1.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	74812	100.0%

Most frequent character per category

Value	Count	Frequency (%)
n	29512	39.4%
o	27948	37.4%
y	5002	6.7%
e	5002	6.7%
s	5002	6.7%
u	782	1.0%
k	782	1.0%
w	782	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	74812	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	29512	39.4%
o	27948	37.4%
y	5002	6.7%
e	5002	6.7%
s	5002	6.7%
u	782	1.0%
k	782	1.0%
w	782	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	74812	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	29512	39.4%
o	27948	37.4%
y	5002	6.7%
e	5002	6.7%
s	5002	6.7%
u	782	1.0%
k	782	1.0%
w	782	1.0%

contact
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

cellular	20946
telephone	12004

Length

Max length	9
Median length	8
Mean length	8.36430956
Min length	8

Characters and Unicode

Total characters	275604
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	cellular
2nd row	telephone
3rd row	cellular
4th row	telephone
5th row	cellular

Value	Count	Frequency (%)
cellular	20946	63.6%
telephone	12004	36.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
cellular	20946	63.6%
telephone	12004	36.4%

Most occurring characters

Value	Count	Frequency (%)
l	74842	27.2%
e	56958	20.7%
c	20946	7.6%
u	20946	7.6%
a	20946	7.6%
r	20946	7.6%
t	12004	4.4%
p	12004	4.4%
h	12004	4.4%
o	12004	4.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	275604	100.0%

Most frequent character per category

Value	Count	Frequency (%)
l	74842	27.2%
e	56958	20.7%
c	20946	7.6%
u	20946	7.6%
a	20946	7.6%
r	20946	7.6%
t	12004	4.4%
p	12004	4.4%
h	12004	4.4%
o	12004	4.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	275604	100.0%

Most frequent character per script

Value	Count	Frequency (%)
l	74842	27.2%
e	56958	20.7%
c	20946	7.6%
u	20946	7.6%
a	20946	7.6%
r	20946	7.6%
t	12004	4.4%
p	12004	4.4%
h	12004	4.4%
o	12004	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	275604	100.0%

Most frequent character per block

Value	Count	Frequency (%)
l	74842	27.2%
e	56958	20.7%
c	20946	7.6%
u	20946	7.6%
a	20946	7.6%
r	20946	7.6%
t	12004	4.4%
p	12004	4.4%
h	12004	4.4%
o	12004	4.4%

month
Categorical

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

may	11073
jul	5753
aug	4882
jun	4251
nov	3296
Other values (5)	3695

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	98850
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	may
2nd row	may
3rd row	may
4th row	jun
5th row	jul

Value	Count	Frequency (%)
may	11073	33.6%
jul	5753	17.5%
aug	4882	14.8%
jun	4251	12.9%
nov	3296	10.0%
apr	2108	6.4%
oct	569	1.7%
sep	453	1.4%
mar	421	1.3%
dec	144	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
may	11073	33.6%
jul	5753	17.5%
aug	4882	14.8%
jun	4251	12.9%
nov	3296	10.0%
apr	2108	6.4%
oct	569	1.7%
sep	453	1.4%
mar	421	1.3%
dec	144	0.4%

Most occurring characters

Value	Count	Frequency (%)
a	18484	18.7%
u	14886	15.1%
m	11494	11.6%
y	11073	11.2%
j	10004	10.1%
n	7547	7.6%
l	5753	5.8%
g	4882	4.9%
o	3865	3.9%
v	3296	3.3%
Other values (7)	7566	7.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98850	100.0%

Most frequent character per category

Value	Count	Frequency (%)
a	18484	18.7%
u	14886	15.1%
m	11494	11.6%
y	11073	11.2%
j	10004	10.1%
n	7547	7.6%
l	5753	5.8%
g	4882	4.9%
o	3865	3.9%
v	3296	3.3%
Other values (7)	7566	7.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	98850	100.0%

Most frequent character per script

Value	Count	Frequency (%)
a	18484	18.7%
u	14886	15.1%
m	11494	11.6%
y	11073	11.2%
j	10004	10.1%
n	7547	7.6%
l	5753	5.8%
g	4882	4.9%
o	3865	3.9%
v	3296	3.3%
Other values (7)	7566	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98850	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	18484	18.7%
u	14886	15.1%
m	11494	11.6%
y	11073	11.2%
j	10004	10.1%
n	7547	7.6%
l	5753	5.8%
g	4882	4.9%
o	3865	3.9%
v	3296	3.3%
Other values (7)	7566	7.7%

day_of_week
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

thu	6937
mon	6802
tue	6484
wed	6468
fri	6259

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	98850
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	mon
2nd row	thu
3rd row	fri
4th row	fri
5th row	fri

Value	Count	Frequency (%)
thu	6937	21.1%
mon	6802	20.6%
tue	6484	19.7%
wed	6468	19.6%
fri	6259	19.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
thu	6937	21.1%
mon	6802	20.6%
tue	6484	19.7%
wed	6468	19.6%
fri	6259	19.0%

Most occurring characters

Value	Count	Frequency (%)
t	13421	13.6%
u	13421	13.6%
e	12952	13.1%
h	6937	7.0%
m	6802	6.9%
o	6802	6.9%
n	6802	6.9%
w	6468	6.5%
d	6468	6.5%
f	6259	6.3%
Other values (2)	12518	12.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98850	100.0%

Most frequent character per category

Value	Count	Frequency (%)
t	13421	13.6%
u	13421	13.6%
e	12952	13.1%
h	6937	7.0%
m	6802	6.9%
o	6802	6.9%
n	6802	6.9%
w	6468	6.5%
d	6468	6.5%
f	6259	6.3%
Other values (2)	12518	12.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	98850	100.0%

Most frequent character per script

Value	Count	Frequency (%)
t	13421	13.6%
u	13421	13.6%
e	12952	13.1%
h	6937	7.0%
m	6802	6.9%
o	6802	6.9%
n	6802	6.9%
w	6468	6.5%
d	6468	6.5%
f	6259	6.3%
Other values (2)	12518	12.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98850	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	13421	13.6%
u	13421	13.6%
e	12952	13.1%
h	6937	7.0%
m	6802	6.9%
o	6802	6.9%
n	6802	6.9%
w	6468	6.5%
d	6468	6.5%
f	6259	6.3%
Other values (2)	12518	12.7%

duration
Real number (ℝ_≥0)

Distinct	1463
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	257.3352049
Minimum	0
Maximum	4918
Zeros	4
Zeros (%)	< 0.1%
Memory size	257.5 KiB

Quantile statistics

Minimum	0
5-th percentile	36
Q1	102
median	179
Q3	318
95-th percentile	746
Maximum	4918
Range	4918
Interquartile range (IQR)	216

Descriptive statistics

Standard deviation	257.3316998
Coefficient of variation (CV)	0.9999863793
Kurtosis	20.16816732
Mean	257.3352049
Median Absolute Deviation (MAD)	93
Skewness	3.24507812
Sum	8479195
Variance	66219.60371
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
136	144	0.4%
85	139	0.4%
92	138	0.4%
72	137	0.4%
124	134	0.4%
135	132	0.4%
126	132	0.4%
97	132	0.4%
104	130	0.4%
82	129	0.4%
Other values (1453)	31603	95.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	< 0.1%
1	3	< 0.1%
2	1	< 0.1%
3	3	< 0.1%
4	10	< 0.1%
5	24	0.1%
6	31	0.1%
7	38	0.1%
8	54	0.2%
9	67	0.2%

Value	Count	Frequency (%)
4918	1	< 0.1%
3785	1	< 0.1%
3643	1	< 0.1%
3509	1	< 0.1%
3422	1	< 0.1%
3366	1	< 0.1%
3322	1	< 0.1%
3284	1	< 0.1%
3253	1	< 0.1%
3183	1	< 0.1%

campaign
Real number (ℝ_≥0)

Distinct	39
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.561729894
Minimum	1
Maximum	56
Zeros	0
Zeros (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	7
Maximum	56
Range	55
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.763646396
Coefficient of variation (CV)	1.078820371
Kurtosis	37.7007375
Mean	2.561729894
Median Absolute Deviation (MAD)	1
Skewness	4.791548913
Sum	84409
Variance	7.6377414
Monotocity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
1	14148	42.9%
2	8447	25.6%
3	4277	13.0%
4	2097	6.4%
5	1295	3.9%
6	776	2.4%
7	505	1.5%
8	320	1.0%
9	217	0.7%
10	178	0.5%
Other values (29)	690	2.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	14148	42.9%
2	8447	25.6%
3	4277	13.0%
4	2097	6.4%
5	1295	3.9%
6	776	2.4%
7	505	1.5%
8	320	1.0%
9	217	0.7%
10	178	0.5%

Value	Count	Frequency (%)
56	1	< 0.1%
43	2	< 0.1%
42	2	< 0.1%
40	2	< 0.1%
35	5	< 0.1%
34	3	< 0.1%
33	3	< 0.1%
32	2	< 0.1%
31	6	< 0.1%
30	3	< 0.1%

pdays
Real number (ℝ_≥0)

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	962.17478
Minimum	0
Maximum	999
Zeros	12
Zeros (%)	< 0.1%
Memory size	257.5 KiB

Quantile statistics

Minimum	0
5-th percentile	999
Q1	999
median	999
Q3	999
95-th percentile	999
Maximum	999
Range	999
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	187.6467855
Coefficient of variation (CV)	0.1950235959
Kurtosis	22.00769747
Mean	962.17478
Median Absolute Deviation (MAD)	0
Skewness	-4.899583916
Sum	31703659
Variance	35211.31611
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
999	31728	96.3%
3	350	1.1%
6	326	1.0%
4	93	0.3%
2	55	0.2%
9	54	0.2%
12	48	0.1%
7	47	0.1%
5	39	0.1%
10	39	0.1%
Other values (16)	171	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	12	< 0.1%
1	22	0.1%
2	55	0.2%
3	350	1.1%
4	93	0.3%
5	39	0.1%
6	326	1.0%
7	47	0.1%
8	13	< 0.1%
9	54	0.2%

Value	Count	Frequency (%)
999	31728	96.3%
27	1	< 0.1%
26	1	< 0.1%
22	2	< 0.1%
21	2	< 0.1%
20	1	< 0.1%
19	3	< 0.1%
18	7	< 0.1%
17	7	< 0.1%
16	8	< 0.1%

previous
Real number (ℝ_≥0)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1747799697
Minimum	0
Maximum	7
Zeros	28394
Zeros (%)	86.2%
Memory size	257.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4965033629
Coefficient of variation (CV)	2.840733775
Kurtosis	19.94757787
Mean	0.1747799697
Median Absolute Deviation (MAD)	0
Skewness	3.808522604
Sum	5759
Variance	0.2465155894
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	28394	86.2%
1	3703	11.2%
2	603	1.8%
3	175	0.5%
4	56	0.2%
5	14	< 0.1%
6	4	< 0.1%
7	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	28394	86.2%
1	3703	11.2%
2	603	1.8%
3	175	0.5%
4	56	0.2%
5	14	< 0.1%
6	4	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
7	1	< 0.1%
6	4	< 0.1%
5	14	< 0.1%
4	56	0.2%
3	175	0.5%
2	603	1.8%
1	3703	11.2%
0	28394	86.2%

poutcome
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

nonexistent	28394
failure	3451
success	1105

Length

Max length	11
Median length	11
Mean length	10.44691958
Min length	7

Characters and Unicode

Total characters	344226
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	failure
2nd row	nonexistent
3rd row	failure
4th row	nonexistent
5th row	nonexistent

Value	Count	Frequency (%)
nonexistent	28394	86.2%
failure	3451	10.5%
success	1105	3.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
nonexistent	28394	86.2%
failure	3451	10.5%
success	1105	3.4%

Most occurring characters

Value	Count	Frequency (%)
n	85182	24.7%
e	61344	17.8%
t	56788	16.5%
i	31845	9.3%
s	31709	9.2%
o	28394	8.2%
x	28394	8.2%
u	4556	1.3%
f	3451	1.0%
a	3451	1.0%
Other values (3)	9112	2.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	344226	100.0%

Most frequent character per category

Value	Count	Frequency (%)
n	85182	24.7%
e	61344	17.8%
t	56788	16.5%
i	31845	9.3%
s	31709	9.2%
o	28394	8.2%
x	28394	8.2%
u	4556	1.3%
f	3451	1.0%
a	3451	1.0%
Other values (3)	9112	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	344226	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	85182	24.7%
e	61344	17.8%
t	56788	16.5%
i	31845	9.3%
s	31709	9.2%
o	28394	8.2%
x	28394	8.2%
u	4556	1.3%
f	3451	1.0%
a	3451	1.0%
Other values (3)	9112	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	344226	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	85182	24.7%
e	61344	17.8%
t	56788	16.5%
i	31845	9.3%
s	31709	9.2%
o	28394	8.2%
x	28394	8.2%
u	4556	1.3%
f	3451	1.0%
a	3451	1.0%
Other values (3)	9112	2.6%

emp.var.rate
Real number (ℝ)

HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.0762276176
Minimum	-3.4
Maximum	1.4
Zeros	0
Zeros (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	-3.4
5-th percentile	-2.9
Q1	-1.8
median	1.1
Q3	1.4
95-th percentile	1.4
Maximum	1.4
Range	4.8
Interquartile range (IQR)	3.2

Descriptive statistics

Standard deviation	1.572241965
Coefficient of variation (CV)	20.62562119
Kurtosis	-1.073664391
Mean	0.0762276176
Median Absolute Deviation (MAD)	0.3
Skewness	-0.7169400989
Sum	2511.7
Variance	2.471944796
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1.4	12927	39.2%
-1.8	7392	22.4%
1.1	6210	18.8%
-0.1	2960	9.0%
-2.9	1348	4.1%
-3.4	854	2.6%
-1.7	611	1.9%
-1.1	504	1.5%
-3	136	0.4%
-0.2	8	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-3.4	854	2.6%
-3	136	0.4%
-2.9	1348	4.1%
-1.8	7392	22.4%
-1.7	611	1.9%
-1.1	504	1.5%
-0.2	8	< 0.1%
-0.1	2960	9.0%
1.1	6210	18.8%
1.4	12927	39.2%

Value	Count	Frequency (%)
1.4	12927	39.2%
1.1	6210	18.8%
-0.1	2960	9.0%
-0.2	8	< 0.1%
-1.1	504	1.5%
-1.7	611	1.9%
-1.8	7392	22.4%
-2.9	1348	4.1%
-3	136	0.4%
-3.4	854	2.6%

cons.price.idx
Real number (ℝ_≥0)

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	93.57424343
Minimum	92.201
Maximum	94.767
Zeros	0
Zeros (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	92.201
5-th percentile	92.713
Q1	93.075
median	93.749
Q3	93.994
95-th percentile	94.465
Maximum	94.767
Range	2.566
Interquartile range (IQR)	0.919

Descriptive statistics

Standard deviation	0.5786358031
Coefficient of variation (CV)	0.006183708057
Kurtosis	-0.8359512246
Mean	93.57424343
Median Absolute Deviation (MAD)	0.38
Skewness	-0.2267829565
Sum	3083271.321
Variance	0.3348193926
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
93.994	6210	18.8%
93.918	5364	16.3%
92.893	4687	14.2%
93.444	4089	12.4%
94.465	3474	10.5%
93.2	2907	8.8%
93.075	1966	6.0%
92.201	613	1.9%
92.963	595	1.8%
92.431	354	1.1%
Other values (16)	2691	8.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
92.201	613	1.9%
92.379	214	0.6%
92.431	354	1.1%
92.469	140	0.4%
92.649	286	0.9%
92.713	136	0.4%
92.756	8	< 0.1%
92.843	212	0.6%
92.893	4687	14.2%
92.963	595	1.8%

Value	Count	Frequency (%)
94.767	103	0.3%
94.601	162	0.5%
94.465	3474	10.5%
94.215	249	0.8%
94.199	239	0.7%
94.055	182	0.6%
94.027	180	0.5%
93.994	6210	18.8%
93.918	5364	16.3%
93.876	176	0.5%

cons.conf.idx
Real number (ℝ)

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-40.51867982
Minimum	-50.8
Maximum	-26.9
Zeros	0
Zeros (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	-50.8
5-th percentile	-47.1
Q1	-42.7
median	-41.8
Q3	-36.4
95-th percentile	-33.6
Maximum	-26.9
Range	23.9
Interquartile range (IQR)	6.3

Descriptive statistics

Standard deviation	4.623004314
Coefficient of variation (CV)	-0.1140956303
Kurtosis	-0.3569941733
Mean	-40.51867982
Median Absolute Deviation (MAD)	4.4
Skewness	0.310353195
Sum	-1335090.5
Variance	21.37216888
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
-36.4	6210	18.8%
-42.7	5364	16.3%
-46.2	4687	14.2%
-36.1	4089	12.4%
-41.8	3474	10.5%
-42	2907	8.8%
-47.1	1966	6.0%
-31.4	613	1.9%
-40.8	595	1.8%
-26.9	354	1.1%
Other values (16)	2691	8.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-50.8	103	0.3%
-50	212	0.6%
-49.5	162	0.5%
-47.1	1966	6.0%
-46.2	4687	14.2%
-45.9	8	< 0.1%
-42.7	5364	16.3%
-42	2907	8.8%
-41.8	3474	10.5%
-40.8	595	1.8%

Value	Count	Frequency (%)
-26.9	354	1.1%
-29.8	214	0.6%
-30.1	286	0.9%
-31.4	613	1.9%
-33	136	0.4%
-33.6	140	0.4%
-34.6	142	0.4%
-34.8	209	0.6%
-36.1	4089	12.4%
-36.4	6210	18.8%

euribor3m
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	314
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.615653596
Minimum	0.634
Maximum	5.045
Zeros	0
Zeros (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	0.634
5-th percentile	0.797
Q1	1.344
median	4.857
Q3	4.961
95-th percentile	4.966
Maximum	5.045
Range	4.411
Interquartile range (IQR)	3.617

Descriptive statistics

Standard deviation	1.73574798
Coefficient of variation (CV)	0.4800647889
Kurtosis	-1.416898308
Mean	3.615653596
Median Absolute Deviation (MAD)	0.108
Skewness	-0.7021616926
Sum	119135.786
Variance	3.012821051
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.857	2271	6.9%
4.962	2061	6.3%
4.963	1968	6.0%
4.961	1512	4.6%
4.856	983	3.0%
4.964	932	2.8%
1.405	924	2.8%
4.864	849	2.6%
4.965	845	2.6%
4.96	811	2.5%
Other values (304)	19794	60.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.634	6	< 0.1%
0.635	32	0.1%
0.636	10	< 0.1%
0.637	6	< 0.1%
0.638	6	< 0.1%
0.639	16	< 0.1%
0.64	9	< 0.1%
0.642	32	0.1%
0.643	20	0.1%
0.644	29	0.1%

Value	Count	Frequency (%)
5.045	7	< 0.1%
5	7	< 0.1%
4.97	142	0.4%
4.968	788	2.4%
4.967	518	1.6%
4.966	489	1.5%
4.965	845	2.6%
4.964	932	2.8%
4.963	1968	6.0%
4.962	2061	6.3%

nr.employed
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5166.859608
Minimum	4963.6
Maximum	5228.1
Zeros	0
Zeros (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	4963.6
5-th percentile	5017.5
Q1	5099.1
median	5191
Q3	5228.1
95-th percentile	5228.1
Maximum	5228.1
Range	264.5
Interquartile range (IQR)	129

Descriptive statistics

Standard deviation	72.20844837
Coefficient of variation (CV)	0.01397530683
Kurtosis	-0.01823278267
Mean	5166.859608
Median Absolute Deviation (MAD)	37.1
Skewness	-1.03710511
Sum	170248024.1
Variance	5214.060016
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
5228.1	12927	39.2%
5099.1	6865	20.8%
5191	6210	18.8%
5195.8	2960	9.0%
5076.2	1348	4.1%
5017.5	854	2.6%
4991.6	611	1.9%
5008.7	527	1.6%
4963.6	504	1.5%
5023.5	136	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4963.6	504	1.5%
4991.6	611	1.9%
5008.7	527	1.6%
5017.5	854	2.6%
5023.5	136	0.4%
5076.2	1348	4.1%
5099.1	6865	20.8%
5176.3	8	< 0.1%
5191	6210	18.8%
5195.8	2960	9.0%

Value	Count	Frequency (%)
5228.1	12927	39.2%
5195.8	2960	9.0%
5191	6210	18.8%
5176.3	8	< 0.1%
5099.1	6865	20.8%
5076.2	1348	4.1%
5023.5	136	0.4%
5017.5	854	2.6%
5008.7	527	1.6%
4991.6	611	1.9%

y
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	32.3 KiB

False	29258
True	3692

Common Values
Chart

Value	Count	Frequency (%)
False	29258	88.8%
True	3692	11.2%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	age	job	marital	education	default	housing	loan	contact	month	day_of_week	duration	campaign	pdays	previous	poutcome	emp.var.rate	cons.price.idx	cons.conf.idx	euribor3m	nr.employed	y
0	57	technician	married	high.school	no	no	yes	cellular	may	mon	371	1	999	1	failure	-1.8	92.893	-46.2	1.299	5099.1	no
1	55	unknown	married	unknown	unknown	yes	no	telephone	may	thu	285	2	999	0	nonexistent	1.1	93.994	-36.4	4.860	5191.0	no
2	33	blue-collar	married	basic.9y	no	no	no	cellular	may	fri	52	1	999	1	failure	-1.8	92.893	-46.2	1.313	5099.1	no
3	36	admin.	married	high.school	no	no	no	telephone	jun	fri	355	4	999	0	nonexistent	1.4	94.465	-41.8	4.967	5228.1	no
4	27	housemaid	married	high.school	no	yes	no	cellular	jul	fri	189	2	999	0	nonexistent	1.4	93.918	-42.7	4.963	5228.1	no
5	58	retired	married	professional.course	no	yes	yes	cellular	jul	fri	605	1	999	0	nonexistent	1.4	93.918	-42.7	4.962	5228.1	no
6	48	services	married	high.school	unknown	yes	no	telephone	may	wed	243	1	999	0	nonexistent	1.1	93.994	-36.4	4.856	5191.0	no
7	51	admin.	divorced	university.degree	unknown	yes	no	cellular	aug	thu	24	7	999	0	nonexistent	1.4	93.444	-36.1	4.962	5228.1	no
8	24	entrepreneur	married	university.degree	no	yes	yes	telephone	jun	wed	126	4	999	0	nonexistent	1.4	94.465	-41.8	4.962	5228.1	no
9	36	technician	divorced	professional.course	no	yes	yes	cellular	jul	mon	43	4	999	0	nonexistent	1.4	93.918	-42.7	4.962	5228.1	no

Last rows

	age	job	marital	education	default	housing	loan	contact	month	day_of_week	duration	campaign	pdays	previous	poutcome	emp.var.rate	cons.price.idx	cons.conf.idx	euribor3m	nr.employed	y
32940	30	admin.	single	professional.course	no	no	no	cellular	aug	tue	97	7	999	0	nonexistent	1.4	93.444	-36.1	4.963	5228.1	no
32941	54	admin.	married	university.degree	no	yes	no	cellular	aug	fri	91	2	3	1	success	-2.9	92.201	-31.4	0.849	5076.2	yes
32942	47	entrepreneur	married	university.degree	no	yes	no	telephone	jun	mon	82	2	999	0	nonexistent	1.4	94.465	-41.8	4.961	5228.1	no
32943	25	blue-collar	married	basic.9y	unknown	yes	no	telephone	may	wed	488	1	999	0	nonexistent	1.1	93.994	-36.4	4.858	5191.0	no
32944	49	blue-collar	married	high.school	unknown	yes	no	cellular	aug	thu	199	1	999	0	nonexistent	1.4	93.444	-36.1	4.963	5228.1	no
32945	56	housemaid	married	basic.4y	no	no	yes	cellular	jul	mon	116	1	999	0	nonexistent	1.4	93.918	-42.7	4.960	5228.1	no
32946	37	management	married	university.degree	no	no	yes	cellular	jul	fri	69	7	999	0	nonexistent	1.4	93.918	-42.7	4.957	5228.1	no
32947	26	admin.	single	university.degree	no	no	no	cellular	may	tue	135	4	999	1	failure	-1.8	92.893	-46.2	1.266	5099.1	no
32948	31	blue-collar	single	basic.9y	no	no	no	cellular	apr	mon	386	1	999	0	nonexistent	-1.8	93.075	-47.1	1.405	5099.1	no
32949	39	housemaid	married	basic.4y	no	no	no	cellular	aug	thu	179	1	999	0	nonexistent	1.4	93.444	-36.1	4.963	5228.1	no

Most frequent

	age	job	marital	education	default	housing	loan	contact	month	day_of_week	duration	campaign	pdays	poutcome	emp.var.rate	cons.price.idx	cons.conf.idx	euribor3m	nr.employed	y	count
0	27	technician	single	professional.course	no	no	no	cellular	jul	mon	331	2	999	nonexistent	1.4	93.918	-42.7	4.962	5228.1	no	2
1	32	technician	single	professional.course	no	yes	no	cellular	jul	thu	128	1	999	nonexistent	1.4	93.918	-42.7	4.968	5228.1	no	2
2	35	admin.	married	university.degree	no	yes	no	cellular	may	fri	348	4	999	nonexistent	-1.8	92.893	-46.2	1.313	5099.1	no	2
3	36	retired	married	unknown	no	no	no	telephone	jul	thu	88	1	999	nonexistent	1.4	93.918	-42.7	4.966	5228.1	no	2
4	39	blue-collar	married	basic.6y	no	no	no	telephone	may	thu	124	1	999	nonexistent	1.1	93.994	-36.4	4.855	5191.0	no	2
5	41	technician	married	professional.course	no	yes	no	cellular	aug	tue	127	1	999	nonexistent	1.4	93.444	-36.1	4.966	5228.1	no	2
6	45	admin.	married	university.degree	no	no	no	cellular	jul	thu	252	1	999	nonexistent	-2.9	92.469	-33.6	1.072	5076.2	yes	2
7	55	services	married	high.school	unknown	no	no	cellular	aug	mon	33	1	999	nonexistent	1.4	93.444	-36.1	4.965	5228.1	no	2
8	71	retired	single	university.degree	no	no	no	telephone	oct	tue	120	1	999	nonexistent	-3.4	92.431	-26.9	0.742	5017.5	no	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values